Grafana Labs
Grafana Labs helps users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock in and the spiraling costs of closed solutions.
- 565 updates · 30dTop focus: Support★ 4.5 G2
600 updates from Grafana Labs and Honeycomb in the last 30 days. We read them all so you don't have to.
Grafana Labs helps users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock in and the spiraling costs of closed solutions.
Honeycomb provides full stack observabilitydesigned for high cardinality data and collaborative problem solving, enabling engineers to deeply understand and debug production software together
Grafana Labs positions itself as a provider of open-source tools for unified monitoring, emphasizing flexibility, vendor independence, and cost control through its ecosystem of integrations and plugins. Honeycomb focuses on full-stack observability tailored for high-cardinality data, emphasizing collaborative debugging and deep insights into production systems. Grafana appeals to organizations seeking customizable, open solutions for monitoring and visualization, while Honeycomb targets engineering teams requiring specialized tools to analyze complex, high-variability data streams.
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Weekly updates per vendor, last 12 weeks.
Page-type activity over the last 30 days. Brighter cells = more updates.
Grafana Labs released a high volume of updates focused on platform expansion and AI integration, including the launch of a plugin marketplace, a major UI refresh in version 13.3, and new tools for mobile observability and automated instrumentation via eBPF. Their recent activity also emphasizes AI observability through the release of o11y-bench for benchmarking and new features for monitoring AI agent workflows. In contrast, Honeycomb’s activity was concentrated on the launch of AI SRE agents designed to automate reliability tasks and manage technical debt using high-cardinality traces. While Grafana Labs focused on broad ecosystem enhancements and UI improvements, Honeycomb centered its recent efforts on proactive, agentic automation for SRE workflows.
Last updates we detected for each vendor.
Grafana Labs explains how to integrate Grafana Cloud observability data into AI agent workflows using the MCP server and the gcx command-line tool. These methods allow agents like Claude and Cursor to access telemetry and visualizations to
Grafana Labs provides documentation for a community-developed n8n plugin that enables workflow observability. The plugin uses the n8n public API to track execution statistics, success rates, and durations as time-series data in Grafana.
Grafana Labs has released trace linkage for Grafana Cloud Database Observability, enabling seamless correlation between OpenTelemetry-instrumented applications and database telemetry collected with Alloy.
Grafana Labs has released a mobile version of Grafana Assistant, allowing users to perform natural-language queries, manage on-call schedules, and investigate incidents directly from their phones with full context synchronization.
Grafana Labs has released Section-level variables and introduced Cross-dashboard variables to improve dashboard organization and reuse. Section-level variables allow for localized filtering within specific rows or tabs, while Cross-dashboar
Honeycomb and Amazon Web Services (AWS) are hosting a live, hands-on workshop to teach engineers how to debug complex, nondeterministic AI agents using production telemetry.
Honeycomb shared insights from Day 2 of Innovation Week regarding the complexities of managing AI agent fleets. The discussion focused on the necessity of observability and tracing to prevent 'token burn' and manage autonomous agent workflo
Honeycomb shared the Day 2 agenda for its Honeycomb Innovation Week, which focuses on tracing and observability for AI agents and fleets.
Honeycomb shares insights from its Innovation Week regarding the management and observability of AI agents. The article discusses how engineers must shift from micro-managing tasks to defining high-level outcomes and verifying agent behavio
Honeycomb has announced the launch of AI SRE agents designed to enhance engineering efforts by monitoring deployments and catching regressions. These agents, including Personal and Team versions, leverage high-cardinality telemetry to proac
What Grafana Labs, Honeycomb and the rest of the Observability market shipped and changed, summarised weekly.
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